The Opportunity:
We are seeking a Data Analytics and Governance Lead to lead the enablement, adoption, and governance of Visio Lending’s enterprise data platform by partnering with business teams to deliver impactful insights, drive metric alignment, and ensure data readiness for advanced analytics and AI applications.
As a Data Analytics and Governance Lead with Visio, you will contribute to the Information Technology Department by:
- Leading collaboration with business units to identify critical data sources, KPIs, and reporting needs
- Managing ingestion of structured data into the enterprise data warehouse using tools such as Azure Data Factory
- Building reports, dashboards, and data alerts using Power BI to deliver business insights
- Collaborating with subject matter experts to define and maintain KPIs and standardized metrics across departments
- Monitoring and maintaining the operational health of the enterprise data warehouse and related BI systems
- Partnering with the AI Enablement Lead to ensure data quality and availability for AI-powered solutions
- Providing guidance to business users on how to self-serve using the BI platform
- Supporting data governance efforts, including stewardship, access control, and documentation
- Coordinating with IT on issues related to performance, permissions, and platform maintenance
- Tracking and prioritizing enhancement requests and promoting consistent practices across teams
- Establishing and leading Visio’s data governance program, including roles, responsibilities, and ownership across business units
- Identifying and documenting systems of record, single sources of truth, and data ownership for core business entities
- Defining and maintaining data standards, naming conventions, and documentation protocols
- Collaborating with department leaders to assign data stewards and support their ongoing enablement
- Monitoring adherence to governance policies and supporting enforcement through documentation and training
- Maintaining centralized documentation of KPIs, definitions, and metadata in support of self-service analytics
- Partnering with compliance, security, and IT to align governance efforts with regulatory and access control requirements
- Adhering to all company policies, procedures, and business ethics codes
- Managing other responsibilities and duties as assigned based on business needs
- Work Schedule: Monday–Friday: 8:30 am – 5:30 pm CST
- Available Remote Locations: AL, AK, AZ, FL, GA, IL, IN, KS, KY, LA, NC, OH, SC, TX, UT, WI
- Salary Range: $95,000 - $120,000 (Exempt level position)
What we are looking for:
- Someone with a bachelor’s degree in information systems, business analytics, computer science, or a related field, or equivalent experience
- Someone with 3–6 years of experience working with enterprise data platforms, reporting tools, or business intelligence systems
- Someone with experience using Microsoft BI tools, including Power BI, Azure Data Factory, and Synapse
- Someone with demonstrated ability to define KPIs and build dashboards for operational or strategic insights
- Someone with familiarity with SQL for querying and manipulating structured datasets
- Someone with an Understanding of data governance, metadata, and data quality management concepts
- Someone with the ability to use standard office equipment, printer, scanner, copier, fax, telephone, personal computer, and other peripheral devices
- Internal Applicants: 6 months of Visio Lending work experience which includes no disciplinary actions within the last 3 months. Current Manager notification is needed in order to apply for a vacant position. Any applicant that does not meet these conditions will require approval from the executive team member over the hiring department prior to extending a job offer
What we prefer to find:
- Someone who has experience with Microsoft Azure Synapse pipelines and Power BI Service configuration
- Someone familiar with enterprise data modeling, data catalogs, or data lineage tooling
- Someone with an understanding of how data platforms support AI/ML applications
- Someone with experience in financial services, lending, or regulated industries
- Someone with experience working in an Agile or data product management environment
- Someone with exposure to Microsoft Azure AI Foundry or Azure ML